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Junior Data Scientist

BI3 Technologies Chennai, Tamil Nadu, India

Sep 23
data-scientist Mid (2-5 yrs) Full-time India
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About the role

Develop and maintain machine learning models and forecasting solutions, prepare data, build Python and SQL pipelines, and analyze datasets for trends and business insights. Support deployment, testing, monitoring, and automated retraining workflows; create visualizations and documentation; and collaborate with cross-functional teams.

What they look for

Python SQL Machine Learning Forecasting Regression Classification Clustering Data Analysis Feature Engineering Model Development Azure Machine Learning Snowflake Git MLOps Power BI Tableau

Requirements

Requires 1–3 years of experience in data science, machine learning, or analytics, strong Python and SQL skills, and knowledge of machine learning methods and model development. A bachelor's or master's degree in a relevant field is required, with exposure to cloud platforms, version control, and ML deployment concepts; Azure ML, visualization tools, forecasting, and MLOps are preferred.

Benefits

Provident Fund Competitive Salary Package Annual Performance Reviews Leave Encashment Medical Insurance Employee and Family Insurance Five-Day Workweek Hybrid Working Model Paid Annual Leave Sick Leave Casual Leave Company Holidays Maternity Leave Paternity Leave Mentorship Global Project Exposure Continuous Learning Opportunities Career Growth Opportunities Inclusive Work Environment Collaborative Team Culture Employee Engagement Programs Team Outings and Celebrations Recognition and Rewards

Full description

Key Responsibilities

  • Develop and maintain machine learning models and forecasting solutions.
  • Perform data cleaning, preprocessing, and feature engineering.
  • Build and optimize data pipelines using Python and SQL.
  • Analyze large datasets to identify trends and business insights.
  • Support model deployment, testing, and performance monitoring.
  • Create dashboards, reports, and data visualizations.
  • Assist in developing automated prediction and retraining workflows.
  • Collaborate with cross-functional teams on analytics projects.
  • Document model development activities and technical processes.
  • Stay updated with emerging trends in Data Science and AI.

Requirements

Requirements

  • 1-3 years of experience in Data Science, Machine Learning, or Analytics.
  • Strong proficiency in Python and SQL.
  • Good understanding of Machine Learning, Forecasting, Regression, Classification, and Clustering.
  • Experience with data analysis, feature engineering, and model development.
  • Exposure to Azure Cloud, Azure ML, Snowflake, or similar platforms.
  • Familiarity with Git, version control, and ML deployment concepts.
  • Strong analytical, problem-solving, and communication skills.
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field.

Preferred Skills

  • Azure Machine Learning.
  • Power BI or Tableau.
  • Time Series Forecasting.
  • MLOps fundamentals.
  • Internship/project experience in AI/ML.
  • Experience working with cloud-based data platforms.

Benefits

Benefits & Perks

Financial Benefits

  • Provident Fund (PF)
  • Competitive Salary Package
  • Annual Performance Reviews
  • Leave Encashment Benefits

Health & Insurance

  • Medical Insurance Coverage
  • Insurance for Employee & Family Dependents

Work-Life Balance

  • 5-Days Working Week
  • Hybrid Working Model
  • Paid Annual Leave
  • Sick Leave & Casual Leave
  • Company Holidays

Family Benefits

  • Maternity Leave
  • Paternity Leave

Learning & Career Growth

  • Mentorship from Senior Data Scientists
  • Exposure to Global Projects
  • Continuous Learning Opportunities
  • Career Growth Path in Data & AI

Culture & Engagement

  • Friendly & Inclusive Work Environment
  • Collaborative Team Culture
  • Employee Engagement Programs
  • Team Outings & Celebrations
  • Recognition & Rewards

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